SOTAVerified

Semantic Segmentation

Papers

Showing 576600 of 14763 papers

TitleStatusHype
Generalized Parametric Contrastive LearningCode2
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future DirectionsCode2
SegNeXt: Rethinking Convolutional Attention Design for Semantic SegmentationCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Scalable SoftGroup for 3D Instance Segmentation on Point CloudsCode2
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationCode2
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationCode2
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
Occlusion-Aware Instance Segmentation via BiLayer Network ArchitecturesCode2
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based TrainingCode2
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated ConvolutionsCode2
In Defense of Online Models for Video Instance SegmentationCode2
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite ImageryCode2
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation LearningCode2
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic FlowCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using SparsityCode2
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable FiltersCode2
Rethinking Unsupervised Domain Adaptation for Semantic SegmentationCode2
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified